RHDZMOTA Package
Rodrigo H. Mota's personal python package that contains general tooling for facilitating the development of software engineering, data engineering, and machine learning projects.
Aren't toolbox packages usually heavy? One main concern of designing toolbox packages shared across projects is that the dependency set often becomes too heavy. This is specially true for data-related projects (e.g., installing pandas, request, tensorflow, sklearn, etc). To solve this issue, the rhdzmota package offers "package extensions" that can be installed by specifying their corresponding tags. This allows us to "split" the dependency set and functionality in sub-python packages; resulting in a lightweight and modular toolbox!
How can I install a package extension? You just need to specify their corresponing "extras-require" tag. Example:
$ pip install 'rhdzmota[ext.hello_world]'
All the package extensions tag will follow the pattern: ext.*
Are there any import patterns to consider? Yes, both the core package and the extensions share a common namespace: rhdzmota. The core package contains their modules directly at the first level (e.g., rhdzmota.*) and the extensions share an inner namespace (i.e., rhdzmota.ext) resulting in the following pattern: rhdzmota.ext.{{ext-slug}}).
The following example imports the Env enum from the settings module in the core package and the hello function from the hello_world extension.
from rhdzmota.settings import Env
from rhdzmota.ext.hello_world.functions import hello
...
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Release files for rhdzmota 4.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| rhdzmota-4.0.1.tar.gz | 25.0 kB | Details |
Release files / rhdzmota-4.0.1.tar.gz
| Download URL | rhdzmota-4.0.1.tar.gz |
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| Size | 25.0 kB |
| Tags | Source |
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